ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues

Description

ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided. This dataset is associated with the following publication: Lizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).

Resources

Name Format Description Link
0 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable
33 tx6b00347.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf
33 kfv168.pdf https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf

Tags

  • toxicokinetics
  • quantitative-risk-assessment
  • in-vitro-high-throughput-screening
  • read-across

Topics

Categories